Development and Pricing of a New Participating Contract

Abstract

This article designs and prices a new type of participating life insurance contract. Participating contracts are popular in the United States and European countries. They present many different covenants and depend on national regulations. In the present article we design a new type of participating contract very similar to the one considered in other studies, but with the guaranteed rate matching the return of a government bond. We prove that this new type of contract can be valued in closed form when interest rates are stochastic and when the company can default.     

Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon,Portugal

Social Vulnerability Index (SoVI) was applied to Greater Lisbon (Portugal). Based on the concepts used for the SoVI assessments in the US, 46 variables representing social vulnerability of the 149 civil parishes of Greater Lisbon were chosen. Thirty-eight variables were selected after application of correlation tests. They were standardized, and a Principal Component Analysis and a Varimax rotation were applied to them. Seven factors were extracted using the Kaiser criterion, which explain 79.5% of the variance, and the SoVI scores were then mapped using a standard deviation classification. Twelve of the 149 civil parishes of Greater Lisbon have a very high social vulnerability and 24 of them have a high social vulnerability. The map of SoVI was then integrated with susceptibility maps of earthquakes, floods, flash floods, landslides, tsunami, and coastal erosion, thus delineating risk zones. Twenty-two civil parishes of Greater Lisbon have a very high risk; among them, 17 belong to Lisbon Municipality, four belong to Loures Municipality, and one belongs to Vila Franca de Xira Municipality. Finally, exposed population was considered and combined with risk zones map in order to assess the number of people being potentially exposed to risk and their location.     

Disentangling and quantifying market participant volatility contributions

Thanks to the access to labeled orders on the CAC 40 index future provided by Euronext, we are able to quantify market participants contributions to the volatility in the diffusive limit. To achieve this result, we leverage the branching properties of Hawkes point processes. We find that fast intermediaries (e.g. market maker type agents) have a smaller footprint on the volatility than slower, directional agents. The branching structure of Hawkes processes allows us to examine also the degree of endogeneity of each agent behavior, and we find that high-frequency traders are more endogenously driven than other types of agents.     

Analyst coverage,earnings management and financial development: An international study

Using data from 21 countries, this paper analyzes the relation among analyst coverage, earnings management and financial development in an international context. We document that the effectiveness of financial analysts as monitors increases with a country’s financial development (FD). We find that in high-FD countries, increased within-firm analyst coverage results in less earnings management. Such is not the case in low-FD countries. Our results are economically significant and robust to reverse causality checks. Our findings illustrate one mechanism through which financial development mitigates the cost of monitoring firms and curbs earnings management.     

A unified approach to ruin probabilities with delays for spectrally negative Lévy processes

ABSTRACT

In this paper, we unify two popular approaches for the definition of actuarial ruin with implementation delays, also known as Parisian ruin. Our new definition of ruin includes both deterministic delays and exponentially distributed delays: ruin is declared the first time an excursion in the red zone lasts longer than an implementation delay with a deterministic and a stochastic component. For this Parisian ruin with mixed delays, we identify the joint distribution of the time of ruin and the deficit at ruin, therefore providing generalizations of many results previously obtained, such as in Baurdoux et al. (2016) and Loeffen et al. (in press) for the case of an exponential delay and that of a deterministic delay, respectively.     

Trade liberalization and the inter-industry wage premia: the missingf role of productivity

The literature concerning the effect of tariffs on the inter-industry wage premium has not addressed the role of total factor productivity (TFP) in determining both the wage premium and tariffs. This omission not only overlooks an important determinant of wage premium but also invalidates the use of the pre-reform tariff level as an instrument for the change in tariffs. Based on an analysis of Colombian data, I find that including TFP in the estimated model of the effects of tariffs on the wage premium leads to a 41% decrease in the effect of tariffs on the inter-industry wage premium relative to the model that omits TFP. More specifically, a 10 percentage point decrease in tariffs reduces the wage premium by 1.01%, whereas a 10% increase in TFP raise wage premium by 1.6%. This finding suggests the importance of using policies that boost productivity to offset the effect of tariffs on the wage premium.     

Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note

Econometricians have long recognized the need to account in some way for measurement errors, specification errors and endogeneity to ensure that the ordinary least squares estimator is consistent. This article introduces a new generalized method of moments estimator that relies on robust instruments to estimate panel data regression models containing errors in variables. We show how this GMM approach can be generalized for the panel data framework using higher moments and cumulants as instruments. The new instruments, engineered for greater robustness, are proposed to tackle the pervasive problem of weak instruments.     

Inequality of Opportunity in Brazil: A Corrigendum

This note acknowledges and corrects a programming error in our paper “Inequality of Opportunity in Brazil” (Review of Income and Wealth, 53(4), 585–618, 2007). Once the error is corrected, our bounds approach to the identification of individual model parameters in the presence of omitted variable biases is much less useful than indicated in the original paper. In the specific context of the measurement of inequality of opportunity, this implies that the decomposition of overall inequality of opportunity into direct and indirect effects is not reliable. However, the parametric approach introduced in our paper remains useful for obtaining a lower‐bound estimate of overall ex‐ante inequality of opportunity, as proposed by Ferreira and Gignoux (2011).     

Enterprise Web Accessibility Levels Amongst the Forbes 250: Where Art Thou O Virtuous Leader?

The research team measured the enterprise web accessibility levels of the Forbes 250 largest enterprises using the fully automatic accessibility evaluation tool Sortsite, and presented the compliance of the evaluated websites to WCAG 1.0, WCAG 2.0 and Section 508 accessibility levels. Given the recent attention to organizational leaders having ethical duties towards their dedicated employees, we propose that ‘societal citizenship behaviour’ concerns ethical duties of organizational leaders towards society in general and in particular to those who have less means to assert their needs. In effect, we found enterprise website accessibility levels to be in need of significant improvement. An interpretation of a positive path forward to better enterprise website accessibility levels is put forth based on a focus-group interaction and using BNML—a novel Business Narrative Modelling Language.     

Consumer understanding of food labels: toward a generic tool for identifying the average consumer

The ‘average consumer’ is referred to as a standard in regulatory contexts when attempts are made to benchmark how consumers are expected to reason while decoding food labels. An attempt is made to operationalize this hypothetical ‘average consumer’ by proposing a tool for measuring the level of informedness of an individual consumer against the national median at any time. Informedness, i.e. the individual consumer's ability to interpret correctly the meaning of the words and signs on a food label is isolated as one essential dimension for dividing consumers into three groups: less-informed, informed, and highly informed consumers. Consumer informedness is assessed using a 60-question test related to information found on a variety of Danish everyday food products and divided into factual questions and informedness about signpost labels. A test was made with 407 respondents who participated in four independent studies on fairness in consumer communication, and the average score for all was 57.6% of correct answers. A score of 64% and beyond would place a consumer in the upper quartile (the group of highly informed consumers), whereas a score of 52% or below would place the individual in the lower quartile (the group of less-informed consumers). Female respondents performed better than males on label recognition, and those around 40 years of age irrespective of gender performed best on factual knowledge, whereas those aged around 30 performed best on label recognition. It is foreseen that independent future studies of consumer behavior and decision making in relation to food products in different contexts could benefit from this type of benchmarking tool.